That is helpful to know, unfortunately it still doesn’t work completely.
By deleting the versions, I was able to “delete” my limbo models.
I then created a new version of the dataset (quite some workaround, because the version before was fine, just the model associated to this version wasn’t behaving)
When I run project.version(new_version).deploy(model_type="yolov5-seg", model_path=f"{HOME}/yolov5/runs/train-seg/{DATASET}/")
I get a new model, that is now in limbo for 9hours.
(Instead, I would like to get an error message, debug it, and re-try)
Just as with the limbo model before the model pages (app.roboflow and universe.roboflow) say:
“”"
Model upload is processing.
This page will automatically update when it’s ready to use.
“”"
I now deployed everything custom myself on my own servers